Particle size distribution determination from spectral extinction using neural networks

Derek Wilkinson, M Li, T Frette

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The use of techniques based on spectral extinction to recover particle size distributions has become increasingly popular in recent years. However, they are time-consuming and are not always successful in practical applications. In this paper, a novel method is proposed to determine particle size distributions using neural networks from several spectral extinction measurements. Simulations and experiments have illustrated that it is feasible to use a neural network to obtain the parameters of a particle size distribution from turbidity measurements. Although the neural network was trained using log-normal distribution data, it can be used to recover some non-log-normal distributions. The method has advantages of simplicity of use, instantaneous delivery of results, and suitability for online particle size analysis.

Original languageEnglish
Pages (from-to)4615-4622
Number of pages8
JournalIndustrial and Engineering Chemistry Research
Volume40
Issue number21
Publication statusPublished - 17 Oct 2001

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